1  # OpenSpec Configuration for AI System Optimization Series
 2  # https://github.com/Fission-AI/OpenSpec
 3  
 4  project:
 5    name: ai-system-optimization-series
 6    description: |
 7      Comprehensive AI infrastructure learning repository covering TVM optimization,
 8      ONNX Runtime custom operators, CUTLASS GEMM, and cuTile exploration.
 9    version: "1.0.0"
10  
11  # Bilingual support configuration (EN + CN)
12  localization:
13    enabled: true
14    primary_language: en
15    secondary_language: zh-CN
16  
17  # Default schema for new changes (spec-driven is the default)
18  defaults:
19    schema: spec-driven
20  
21  # Project-specific validation rules
22  validation:
23    require_bilingual: false  # Not all changes need bilingual docs
24    require_hardware_notes: true  # CUDA modules must note GPU requirements
25  
26  # Capability specs organization (matches project's 4 modules)
27  specs:
28    structure: per-module
29    modules:
30      - id: tvm-optimization
31        name: TVM End-to-End Optimization
32        path: openspec/specs/tvm-optimization
33      - id: ort-custom-ops
34        name: ONNX Runtime Custom CUDA Operators
35        path: openspec/specs/ort-custom-ops
36      - id: cutlass-gemm
37        name: CUTLASS 3.x Hopper GEMM
38        path: openspec/specs/cutlass-gemm
39      - id: cutile-cuda
40        name: cuTile Next-Generation CUDA
41        path: openspec/specs/cutile-cuda
42  
43  # Context injected into all OpenSpec artifacts
44  context: |
45    ## Project Context
46  
47    This is an AI infrastructure learning repository demonstrating full-stack
48    optimization skills from compiler tuning to low-level kernel development.
49  
50    ### Technology Stack
51    - Python 3.10+, CUDA 12.x/13.x
52    - TVM, ONNX Runtime, CUTLASS 3.x, cuTile
53    - GPU: V100 minimum, A100/H100 recommended
54  
55    ### Documentation Standards
56    - Bilingual (English + Chinese) for user-facing content
57    - Hardware requirements must be noted for CUDA tasks
58    - Follow existing patterns in .kiro/specs/ for reference